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采用时间数据、ArcGIS和最大熵模型研究气候变化对(梵净山)吴征镒和宣淑洁分布的影响。

Effect of climate change on (Vaniot) C. Y. Wu & S. J. Hsuan distribution adopting temporal data, ArcGIS, and the MaxEnt model.

作者信息

Lu Zongran, Shan Yuxin, Shan Huijiao, Wen Haicheng, Wu Yanan, Han Rongchun, Tong Xiaohui

机构信息

School of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.

Department of Food and Drug Inspection and Testing, Huludao City Inspection and Testing Center, Huludao, China.

出版信息

Front Plant Sci. 2024 Sep 9;15:1445764. doi: 10.3389/fpls.2024.1445764. eCollection 2024.

DOI:10.3389/fpls.2024.1445764
PMID:39315375
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11416927/
Abstract

(Vaniot) C. Y. Wu & S. J. Hsuan, a vital plant in traditional Chinese medicine, has been used for its hemostatic properties since 1220 AD. Despite its recognized medicinal benefits including anti-inflammatory and cardiovascular applications and increasing market demands, research on this plant remains limited, particularly from the perspective of plant ecology. Due to global warming and the resultant climate change, studies on the distribution and conservation of are of great importance, especially when a clear trend that its habitat shifts to the north was observed. To predict the potential distribution of under distinct climate situations, the MaxEnt model was used along with the ArcGIS software. As a result, an AUC value of 0.931 was achieved, indicating high predictive accuracy of the model. By analyzing 135 occurrence points and their corresponding bioclimatic factors (including precipitation), soil data, and other environmental variables (49 in total), 16 key factors including pH value and basic saturation were selected for downstream analysis. It was found that solar radiation in May, precipitation in May and April, and the lowest temperature in the coldest month are important factors influencing the growth and distribution of . Compared to the current climate scenario, the future suitable habitat for is expected to shift northwest, and under the SSP245-2061-2080 climate scenario, its highly suitable habitat area is projected to increase by 886,000 km. These findings provide crucial insights into the environmental drivers of distribution and aid in its preservation and sustainable use in traditional medicine. Based on the findings of this study, future research should focus on factors such as solar radiation in May and the lowest temperature in the coldest month within the suitable habitat to ensure its effective conservation.

摘要

(Vaniot)吴CY和宣SJ,一种传统中药中的重要植物,自公元1220年以来就因其止血特性而被使用。尽管其具有公认的药用益处,包括抗炎和心血管应用,且市场需求不断增加,但对这种植物的研究仍然有限,特别是从植物生态学的角度来看。由于全球变暖和由此导致的气候变化,对其分布和保护的研究具有重要意义,尤其是当观察到其栖息地明显向北转移的趋势时。为了预测在不同气候情况下的潜在分布,使用了MaxEnt模型和ArcGIS软件。结果,获得了0.931的AUC值,表明该模型具有较高的预测准确性。通过分析135个出现点及其相应的生物气候因子(包括降水量)、土壤数据和其他环境变量(总共49个),选择了包括pH值和碱饱和度在内的16个关键因子进行下游分析。研究发现,5月的太阳辐射、4月和5月的降水量以及最冷月的最低温度是影响其生长和分布的重要因素。与当前气候情景相比,预计其未来适宜栖息地将向西北转移,在SSP245 - 2061 - 2080气候情景下,其高度适宜栖息地面积预计将增加88.6万平方千米。这些发现为其分布的环境驱动因素提供了关键见解,并有助于其在传统医学中的保护和可持续利用。基于本研究的结果,未来的研究应关注适宜栖息地内5月的太阳辐射和最冷月的最低温度等因素,以确保其有效保护。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/3aeb063a61ec/fpls-15-1445764-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/3c00725ef5de/fpls-15-1445764-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/eb254992c69d/fpls-15-1445764-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/51389d8832cd/fpls-15-1445764-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/b0f9c2f7f261/fpls-15-1445764-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/0eb7fa106fd9/fpls-15-1445764-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/3aeb063a61ec/fpls-15-1445764-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/3c00725ef5de/fpls-15-1445764-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/6792c99d3aae/fpls-15-1445764-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/39dc661788f7/fpls-15-1445764-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/eb254992c69d/fpls-15-1445764-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/51389d8832cd/fpls-15-1445764-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/b0f9c2f7f261/fpls-15-1445764-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/0eb7fa106fd9/fpls-15-1445764-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8c/11416927/3aeb063a61ec/fpls-15-1445764-g008.jpg

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